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» The Use of NLP Techniques in CLIR
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NAACL
2007
13 years 9 months ago
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
Andrei Alexandrescu, Katrin Kirchhoff
LREC
2010
149views Education» more  LREC 2010»
13 years 9 months ago
The Lefff, a Freely Available and Large-coverage Morphological and Syntactic Lexicon for French
In this paper, we introduce the Lefff, a freely available, accurate and large-coverage morphological and syntactic lexicon for French, used in many NLP tools such as large-coverag...
Benoît Sagot
WWW
2011
ACM
13 years 2 months ago
Web scale NLP: a case study on url word breaking
This paper uses the URL word breaking task as an example to elaborate what we identify as crucialin designingstatistical natural language processing (NLP) algorithmsfor Web scale ...
Kuansan Wang, Christopher Thrasher, Bo-June Paul H...
JCDL
2004
ACM
112views Education» more  JCDL 2004»
14 years 1 months ago
Metaextract: an NLP system to automatically assign metadata
We have developed MetaExtract, a system to automatically assign Dublin Core + GEM metadata using extraction techniques from our natural language processing research. MetaExtract i...
Ozgur Yilmazel, Christina M. Finneran, Elizabeth D...
CIKM
2011
Springer
12 years 7 months ago
An efficient method for using machine translation technologies in cross-language patent search
Topics in prior-art patent search are typically full patent applications and relevant items are patents often taken from sources in different languages. Cross language patent retr...
Walid Magdy, Gareth J. F. Jones